US20120253881A1 - Electrical resource controller - Google Patents
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- US20120253881A1 US20120253881A1 US13/077,913 US201113077913A US2012253881A1 US 20120253881 A1 US20120253881 A1 US 20120253881A1 US 201113077913 A US201113077913 A US 201113077913A US 2012253881 A1 US2012253881 A1 US 2012253881A1
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Abstract
In an exemplary embodiment of the present disclosure, an electrical system is provided. The system comprises a controller including a plurality of machine implemented processing sequences. The electrical system also includes a plurality of sensors configured to receive input related to the environmental conditions of the environment surrounding the plurality of sensors and transmit the input to the controller, at least one power source in electrical communication with the controller. The electrical system further includes at least one storage device in electrical communication with the controller, and at least one device sensor in communication with an end user. The at least one device sensor includes memory, and the memory includes priority information regarding the priority of a device associated with the at least one device sensor. The at least one device sensor is operable to transmit information to the controller.
Description
- The invention described herein was made in the performance of official duties by employees of the Department of the Navy and may be manufactured, used and licensed by or for the United States Government for any governmental purpose without payment of any royalties thereon.
- The present invention relates generally to devices to control and distribute electricity. In many electrical systems, remote location may not be in communication with local, regional, national, or international electrical grids. In other electrical systems, a location may have requirements in order to sustain electrical operations while an electrical grid is offline or operating at a limited capacity (i.e., insufficient for demand). Additionally, the deployment of a number of small generators to fulfill electrical needs on a small scale may be inefficient, as the small generators may not be as robust as a fewer number of larger generators, and transporting fuel to many generators may be expensive, time consuming, or dangerous.
- In an exemplary embodiment of the present disclosure, an electrical system is provided. The system comprises a controller including a plurality of machine implemented processing sequences. The electrical system also includes a plurality of sensors configured to receive input related to the environmental conditions of the environment surrounding the plurality of sensors and transmit the input to the controller, at least one power source in electrical communication with the controller. The electrical system further includes at least one storage device in electrical communication with the controller, and at least one device sensor in communication with an end user. The at least one device sensor includes memory, and the memory includes priority information regarding the priority of a device associated with the at least one device sensor. The at least one device sensor is operable to transmit information to the controller. The controller selectively energizes or deenergizes the devices associated with the at least one device sensor based at least in part on the priority information associated with each of the at least one device sensors and on the available energy produced by the at least one power source.
- In an additional exemplary embodiment of the present disclosure, the controller of the electrical system utilizes an analytics engine to make power planning decisions, the analytics engine comprising first, second, and third plurality of processing sequences, wherein the first plurality of processing sequences is adapted to perform interface activities with a plurality of potential disruption event databases, the second plurality of processing sequences is adapted to perform business analytics processing based on a plurality of business analytics data, and the third plurality of processing sequences is adapted to produce a plurality of outputs comprising first, second, and third outputs. The potential disruption event databases comprise data from sensors, command and control facilities, weather sources including tsunami reporting, and other real time event reporting databases including national security, civil defense, weather, and intelligence threat databases. The plurality of business analytics data comprises network component data, network data, node power requirements, node chain power consumption data, equipment or function priority data, location data, power grid data, supported entity/mission data, predicted power disruption impact data, power disruption cost data, threat to life indicator, threat to property indicator, threat to critical infrastructure indicator, threat to critical subsystem indicator, lost opportunity cost from disruption data, and predicted time of disruption data. The first output comprises a network disruption prediction report comprising a list of network nodes, missions, locations or other elements which are presently at risk or are predicted to be at risk within 72 hours or less based on outputs from the first, second, and third processing sequences, the plurality of business analytics data, the data from the potential disruption event database, and data provided by the at least one device sensor. The second output comprises a list and at least one network diagram showing a plurality of proposed network disruption prevention actions determined based on: outputs from the first, second, and third processing sequences, the plurality of business analytics data, the data from the potential disruption event database, and data provided by the at least one device sensor. The third output comprises a critical path listing showing critical elements, nodes, or links from the first output with a proposed corrective action, including corrective actions which are automatically implemented by the electrical system.
- In another exemplary embodiment of the present disclosure, an electrical system controller is disclosed. The electrical system controller includes a plurality of machine implemented processing sequences, and comprises an adapter to receive data from one or more inputs, including a plurality of sensors operable to receive input related to the environment. The electrical system controller also includes a data aggregator to receive data from the adapter and group the data, an analytics engine to receive the grouped data from the data aggregator and analyze the data, and a control module to receive commands from the analytics engine and relay the commands to one or more devices. The at least one device sensor is in communication with an end user. The at least one device sensor includes memory, and the memory includes priority information regarding the priority of a device associated with the at least one device sensor. The at least one device sensor is operable to transmit information to the adapter. The control module selectively energizes or deenergizes the devices associated with the at least one device sensor based at least in part on the priority information associated with each of the at least one device sensors and on the available energy produced by at least one power source.
- In yet another exemplary embodiment of the present disclosure, a method for predicting electrical requirements is disclosed. The method comprises receiving data from one or more inputs, including at least one sensor operable to receive input related to the environment and at least one device sensor operable to receive data from one or more end users regarding power usage and future requirements. The at least one device sensor includes memory, and the memory includes priority information regarding the priority of a device associated with the at least one device sensor. The at least one device sensor is operable to transmit information. The method further includes extracting key signatures from the data received from the one or more inputs, learning the key signatures extracted from the data received from the one or more inputs, and predicting future power requirements associated with the key signatures. The method further includes controlling power generation, storage, and distribution according to the predicted future power requirements by selectively energizing or deenergizing the devices associated with the at least one device sensor based at least in part on the priority information associated with each of the at least one device sensors and on the available energy produced by at least one power source.
- The foregoing aspects and many of the attendant advantages of this invention will become more readily appreciated as the same become better understood by reference to the following detailed description when taken in conjunction with the accompanying drawings.
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FIG. 1 is a diagrammatic view of a controller and associated power units according to an illustrative embodiment of the present disclosure; -
FIG. 2 is a diagrammatic view of a controller and powered devices according to an illustrative embodiment of the present disclosure; -
FIG. 3 is a diagrammatic view of a non-smart device and device sensor in relation to an outlet and a controller; -
FIG. 4 is a diagrammatic view of a controller and input sensors according to an illustrative embodiment of the present disclosure; -
FIG. 5 is a diagrammatic view of controller components receiving and analyzing data according to an illustrative embodiment of the present disclosure; -
FIG. 6 is an exemplary diagram of a group of areas and a group of devices, each having a priority according to an illustrative embodiment of the present disclosure; and -
FIG. 7 is a flow chart depicting data acquisition and analysis according to an illustrative embodiment of the present disclosure. - Corresponding reference characters indicate corresponding parts throughout the several views. Although the drawings represent embodiments of various features and components according to the present disclosure, the drawings are not necessarily to scale and certain features may be exaggerated in order to better illustrate and explain the present disclosure. The exemplification set out herein illustrates embodiments of the invention, and such exemplifications are not to be construed as limiting the scope of the invention in any manner.
- For the purposes of promoting an understanding of the principles of the invention, reference will now be made to the embodiments illustrated in the drawings, which are described below. The embodiments disclosed below are not intended to be exhaustive or limit the invention to the precise form disclosed in the following detailed description. Rather, the embodiments are chosen and described so that others skilled in the art may utilize their teachings. It will be understood that no limitation of the scope of the invention is thereby intended. The invention includes any alterations and further modifications in the illustrated devices and described methods and further applications of the principles of the invention which would normally occur to one skilled in the art to which the invention relates.
- Referring to
FIG. 1 , a diagrammatic view of acontroller 105 and associated power units in anelectrical system 100 is shown according to an illustrative embodiment of the present disclosure. Acontroller 105 receives power from one or more power sources 101 a-101 n, and thecontroller 105 may be in communication with apower conditioner 107. Thecontroller 105 may receive data from one or more sensors 109 a-109 n, and may store electricity in one or more storage devices 103 a-103 n, and may deliver the electricity to one or more end users. - In an embodiment, the
controller 105 and associated power units in anelectrical system 100 may be arranged on land, and may be relatively close together. For example, theelectrical system 100 may be located in an encampment or smaller group, such as a building, home, or hospital. In another embodiment, thecontroller 105 and associated power units in theelectrical system 100 may be arranged in a wider distribution, such as in support of a city or town. In yet another embodiment, thecontroller 105 and associated power units in theelectrical system 100 may be arranged on a naval vessel. Other examples may include, but are not limited to, aircraft, submarines, or spacecraft. - The
controller 105 may receive input from thepower conditioner 107, the one or more power sources 101 a-101 n, the one or more storage devices 103 a-103 n, the one or more sensors 109 a-109 n, and the one or more end users. Thecontroller 105 may perform analysis on the inputs, and may adjust power generation, storage, and distribution according to the input data. In one embodiment, thecontroller 105 includes one or more electronic processors to analyze the inputs. Thecontroller 105 may also include one or more analog to digital converters, to convert analog inputs from one or more of the sources into digital inputs. - The
power conditioner 107 may receive electricity from the power sources 101 a-101 n and the storage devices 103 a-103 n, and may normalize the output of the electricity, or may adjust the received electricity from the power sources 101 a-101 n and the storage devices 103 a-103 n in other ways. Additionally, thepower conditioner 107 may adjust electricity received from the power sources 101 a-101 n before it is transmitted to the storage devices 103 a-103 n. For example, and without limitation, thepower conditioner 107 may convert the electricity received from the power sources 101 a-101 n from alternating current (AC) to direct current (DC), or vice versa, so that it may be stored in the storage devices 103 a-103 n. Thepower conditioner 107 may operate in communication with thecontroller 105. For example, data transmitted to thecontroller 105 may be transmitted, either wirelessly or via a wired connection, to thepower conditioner 107. In an embodiment, thepower conditioner 107 may receive data input from the power sources 101 a-101 n and/or the storage devices 103 a-103 n, and may transmit the data input to thecontroller 105. Additionally, thepower conditioner 107 may transmit additional data regarding the type, amount, or quality of electricity generated by the power sources 101 a-101 n, or stored or removed from the power sources 101 a-101 n, or other data regarding the generation and/or storage of electricity. - The
power conditioner 107 may include, but is not limited to one or more electronic power control and conditioning (EPCC) systems, sensors 109 a-109 n deployed with thecontroller 105, thepower conditioner 107, the power sources, and/or the storage devices 103 a-103 n, one or more artificial intelligence alternative energy (AIAE) systems and/or one or more electronic power control and conditioning (EPCC) modules or systems, or other mobile configurations. - The power sources, denoted as 101 a to 101 n, may be in electrical communication with either the
controller 105 or thepower conditioner 107, or both, and may communicate data and/or electricity. - The power sources 101 a-101 n may include, but are not limited to photovoltaic and/or solar cell power generators, concentrated solar power generators, fossil fuel generators, including gasoline or diesel fuel powered generators, wind turbine or other wind-based power generators, pyrolysis power generators, fuel cell power generators, geothermal power generators, hydroelectric power generators, wave powered power generators, nuclear generators or generators associated with one or more nuclear power plants, or other mobile or fixed power generators. The power sources 101 a-101 n may also include a connection to a local, national, or international electrical grid. The power sources 101 a-101 n may include one or more power generation units. For example, a power source may include more than one fossil fuel generator, or more than one wind turbine or panel of solar cells. The power sources 101 a-101 n may provide electricity in different forms and amounts. For example, a power source may provide AC current, and another power source may provide DC current. The power sources 101 a-101 n may also provide different voltages, amperages, or frequencies. The power sources 101 a-101 n may also provide different amounts or types of electricity depending on time. For example, a diesel fuel power generator may provide one amount of electricity at one time, and a different amount at another time.
- The power sources 101 a-101 n may provide data regarding the type or amount of power that is generated, or may provide additional data to the
controller 105 and/or thepower conditioner 107. For example, and without limitation, the power sources 101 a-101 n may provide maintenance data, fault indicators, amount of fuel remaining, operating temperatures, current or past status, future operating requirements, or other operating characteristics. The power sources 101 a-101 n may also accept data. For example, and without limitation, the power sources 101 a-101 n may accept data regarding the status or other characteristics of other power sources, storage devices 103 a-103 n, control information, or future operating parameters. Control information may include, but is not limited to, instructions to start generating electricity, instructions to vary the amount or type of electricity generated, or instructions to shut down. - The storage devices, denoted as 103 a to 103 n, may include chemical or mechanical energy storage. The storage devices 103 a-103 n may be used to store electricity generated by the power sources 101 a-101 n, or may be in communication with the
controller 105 and/or thepower conditioner 107 in a charged state. The storage devices 103 a-103 n may include, but are not limited to dry and/or wet cell batteries, rechargeable batteries, for example lithium-ion, lithium, nickel-metal hydride, nickel cadmium, lead-acid, or other types of rechargeable batteries, capacitors, fly-wheel energy storage systems, hydraulic energy storage systems, the creation of biofuels, the storage or heated or superheated liquids or solids, steam based systems, pressure based systems, or other mobile configurations. - The storage devices 103 a-103 n may provide data regarding the type or amount of energy that is stored, or may provide additional data to the
controller 105 and/or thepower conditioner 107. For example, and without limitation, the power sources 101 a-101 n may provide maintenance data, fault indicators, amount of energy remaining in the storage device, operating temperatures, current or past status, future operating requirements, or other operating characteristics. The storage devices 103 a-103 n may also accept data. For example, and without limitation, the storage devices 103 a-103 n may accept data regarding the status or other characteristics of power sources 101 a-101 n and/or other storage devices 103 a-103 n, control information, or future operating parameters. Control information may include, but is not limited to, instructions to provide electricity, instructions to vary the amount or type of electricity provided, or instructions to shut down. - The end users, denoted as 111 a to 111 n in
FIG. 1 and also described with reference toFIG. 2 , may be one or more components or devices that use electricity to perform functions. For example, and without limitation, an end user may comprise a computer or computer system or a mechanical device. An end user may also comprise a group of components. The end user may be a distribution node for distribution of electricity to address the demands of a facility, a part of a facility, or a group of devices that use electricity to perform functions. - Shown in
FIG. 2 , the end user device may be a “smart”device device 203, and smart devices may be “legacy” 205 or “future” 207 smart devices. Asmart device controller 105 and use the received information to enable additional features, or is able to transmit information to thecontroller 105. For example, and without limitation, asmart device controller 105 to shut down, or to reduce the electrical demands on thecontroller 105, and may be able to perform steps in response to the commands or information received from thecontroller 105. Asmart device controller 105 regarding the device's current and/or future electrical demands, or other information related to the electrical requirements or maintenance of the device. Anon-smart device 203 is a device that is not able to receive information from thecontroller 105, or is not able to transmit information to thecontroller 105. - A legacy smart device is a device that uses known protocols for receiving information from the
controller 105 and transmitting information to thecontroller 105. Thecontroller 105 may be able to decrypt and/or decode the information received from the legacysmart device 205, and may be able to format information so that the legacysmart device 205 may be able to decrypt and/or decode the information. - A future smart device is a device that may use known protocols, or may use currently unknown protocols for receiving information from the
controller 105 and transmitting information to thecontroller 105. Thecontroller 105 may be able to be updated with additional protocols to replace or add to the one or more protocols of the legacysmart devices 205, so that thecontroller 105 may be reprogrammed to receive and/or decrypt information from the futuresmart device 207, and may transmit information to be decrypted and/or decoded by the futuresmart device 207. The future protocols may be provided to thecontroller 105, or thecontroller 105 may interact with the futuresmart device 207 to learn the new protocols, or the futuresmart device 207 may provide thecontroller 105 with the new protocols. - A legacy
non-smart device 203 may not be able to communicate directly with thecontroller 105, and so adevice sensor 201 may be placed between thecontroller 105 and the legacynon-smart device 203. Thedevice sensor 201 may receive information from and transmit information to thecontroller 105, and may interact with the legacynon-smart device 203, so that the legacynon-smart device 203 may appear to thecontroller 105 to be a smart device. Thedevice sensor 201 may interact with the legacynon-smart device 203 to allow the legacynon-smart device 203 to perform the commands that thecontroller 105 transmits to thedevice sensor 201. For example, thedevice sensor 201 may have the ability to turn the legacynon-smart device 203 on or off, or may have the ability to collect power requirement data from the legacynon-smart device 203. -
FIG. 3 shows a diagrammatic view of anon-smart device 203 anddevice sensor 201 in relation to anoutlet 313 and acontroller 105. A user plugs adevice 203 into anoutlet 313. Thedevice 203 has an identification device that is encoded with one or more codes. The codes may be, for example and without limitation, a string of letters, numbers, and/or other characters, or another identifier that is readable and presents one or more inputs to a reader. The identifier may be a code that is unique to thedevice 203, or may contain one or more codes. For example, and without limitation, the identifier may include a unique code, so that everydevice 203 has a unique identifier. In another embodiment, the identifier may include a code that is not unique to thedevice 203, along with a code that is unique to thedevice 203. For example, a non-unique code may include a model code, or a code designating a use or type of equipment, or a code designating the power requirements of thedevice 203, or a code designating the priority of thedevice 203. In another embodiment, the identifier is not unique to thedevice 203, but includes one or more non-unique codes as described above. A unique identifier may include a serial number or other generated code so that adevice 203 is uniquely identified. - The
device sensor 201 may also include one ormore storage devices 319. Thestorage devices 319 are capable of storing and recalling information stored within thestorage device 319. Thestorage device 319 may be a rewritable memory such as random access memory or an updatable or rewritable memory capable of continuing to store information when electricity is no longer applied. Thestorage device 319 may also include a hard disk or other fixed or removable medium. Thestorage device 319 may store information related to, for example and without limitation, historical trends of electricity usage by thedevice 203, identification of thedevice 203, including priority or other identifiers, or other information. The information may be updatable by thedevice sensor 201, or thecontroller 105 may update the information via, for example, a network connection or other connection between thecontroller 105 and thedevice sensor 201. - In one embodiment, the identification device is a radio frequency identification device (“RFID”). The RFID chip may be programmed with the identifiers. In another embodiment, the identification device may include a bar code or other visual indicator of a code, a magnetic carrier, a passive or active radio frequency system to transmit or receive radio frequencies, or a physical connection. The physical connection may include a plug or wire associated with memory or a processor associated with memory to transmit the codes across the physical connection.
- An identification device associated with the device interacts with an identification device reader associated with the
outlet 313. In the embodiment ofFIG. 3 , theRFID reader 315 associated with theoutlet 313 communicates with theRFID identifier 317 associated with thedevice sensor 201 or thedevice 203, and reads the identifier from theRFID identifier 317. TheRFID reader 315 may, in one embodiment, store the identifier in memory or other medium, and may transmit the identifier to thecontroller 105. In the embodiment, theRFID reader 315 is in communication with thecontroller 105 via, for example and without limitation, a wired or wireless connection. TheRFID reader 315 may also, in another embodiment, communicate with thecontroller 105 via the power lines using a protocol designed for communication over power lines. In an illustrative embodiment, theRFID reader 315 may include multiple RFID readers, and theRFID readers 315 may work in concert to locate theRFID identifier 317 via, for example and without limitation, triangulation of the RFID signal from theRFID identifier 317. Thecontroller 105 may receive the location data from themultiple RFID readers 315 and may use the location data to plot the location of one or more of theRFID identifiers 317 within a geographical location. Thecontroller 105 may aggregate this information and present a map or other pictorial representation of the geographic area or other area on a visual display device, such as a computer monitor or a display of a handheld device such as a smartphone or other portable computer, which may indicate the location of one or more of theRFID identifiers 317. - In an embodiment, the identification device reader associated with the
outlet 313 may issue a challenge to the identification device associated with thedevice 203. The challenge may require the identification device associated with thedevice 203 to reply with one or more coded sequences, which may be received by the identification device associated with theoutlet 313 and may be transmitted to thecontroller 105. The one or more coded sequences may be encrypted, or may be transmitted in an unencrypted way. Thecontroller 105 and/or the identification device associated with theoutlet 313 may receive the one or more coded sequences and may interpret the one or more coded sequences and authenticate the device. If thedevice 203 is not authenticated, thecontroller 105 may not provide electricity to thedevice 203 and/or may send an alert to operators of thecontroller 105 or other personnel associated with thecontroller 105. Thecontroller 105 may also write information regarding the attempted access to an access log. If thedevice 203 is authenticated, thecontroller 105 may provide electricity to the device according to its requirements and the priority of the device, if a priority is assigned. Thecontroller 105 may also write information regarding the access and authentication to an access log. - The sensors, denoted as 109 a to 109 n in
FIG. 1 and also described with reference toFIG. 4 , may be in communication with the storage devices and/or the power sources. The sensors 109 a-109 n may measure or record information related to the operation or maintenance of the storage devices and/or power sources. In another embodiment, the sensors 109 a-109 n may receive data from additional sources. For example, and without limitation, the sensors 109 a-109 n may be deployed to measure environmental conditions or the environment. The environment or environmental conditions may include, but are not limited to weather characteristics, such as air temperature, wind speed, humidity, barometric pressure, air quality, the presence or absence of particulates, chemicals, or other airborne contaminants, the composition of the air, or future forecasts. The sensors 109 a-109 n may also be deployed to receive other environmental conditions such as mobile or tactical information, including the position, movement, or number of personnel and/or equipment, the position of geological features and/or terrain characteristics, or the position, movement, and number of airborne forces. The sensors 109 a-109 n may also receive data regarding current load, predicted load, or scheduled future load. The sensors 109 a-109 n may also include sensors to receive data from additional sources in other areas, for example data from one or more command and control facilities, satellites, or manned or unmanned aircraft. - In an embodiment, the sensors 109 a-109 n may receive data, such as command and control data, from command and control facilities. The command and control data may include troop movements and historical, current, and future operational orders. The data may include, for example and without limitation, the number of additional personnel that may draw power from the controller. The data may also include the type of personnel. For example, the data may include that a number of engineers, or a number of doctors or support staff, may draw power from the controller during a time period. The command and control facilities may transmit historical data to the controller regarding the historical trends of the energy usage of the personnel or groups of personnel. The data may also include the equipment that individual personnel or groups of personnel own or are expected to bring to be associated with the controller. For example, a group of equipment may be associated with a group of personnel. The command and control facilities may transmit historical data regarding the equipment associated with the personnel or group of personnel, either individually or as it is associated with the personnel. The data may also include priority information. For example, specific personnel or groups of personnel may be assigned a higher priority than other personnel. The controller may receive the data regarding the personnel and the equipment, and may recommend actions to prepare for the arrival of the personnel. For example, the controller may recommend adding or removing power sources or storage devices based on the information received from the sensors. The command and control facility may store the information to be transmitted to the controller in, for example and without limitation, a database or other electronic file, or a combination of databases and/or other electronic files. The controller may also transmit information to the command and control facility regarding current or historical patterns or usage information for the controller and/or any devices associated with the controller, including data regarding end users or devices.
- The sensors 109 a-109 n may be deployed at or near the site of the power sources, the storage devices, the end users, the
controller 105, and/or thepower conditioner 107. The sensors 109 a-109 n may transmit the information to thepower conditioner 107 and/or thecontroller 105 via a wireless connection between the sensor and thecontroller 105 orpower conditioner 107, or via a wired connection. The sensors 109 a-109 n may transmit the information or receive information via an encrypted link or an unencrypted link over the wireless or wired connection. - The
power conditioner 107, thecontroller 105, the power sources 101 a-101 n, the storage devices 103 a-103 n, the sensors 109 a-109 n, and the end users 111 a-111 n may all be deployed at the same site, or may be deployed at different locations, and electricity and/or data may be communicated from one location to another location by the use of one or more wires. Electricity and/or data may also be communicated from one location to another location via a wireless connection. - Turning now to
FIG. 5 , a diagrammatic view ofcontroller 105 components receiving and analyzing data according to an illustrative embodiment of the present disclosure is shown. Theadapter 401, thedata aggregator 403, the analytics andcontrol logic 405, theuser interface 407, and the communication andcontrol module 409 are all modules that may operate within thecontroller 105. In one embodiment, theadapter 401, thedata aggregator 403, the analytics andcontrol logic 405, theuser interface 407, and the communication andcontrol module 409 operate as software executed by one or more processors associated with thecontroller 105, or as one or more machine implemented processing sequences. Theadapter 401, thedata aggregator 403, the analytics andcontrol logic 405, theuser interface 407, and the communication andcontrol module 409 may be embodied in software, hardware, or a combination of software and hardware. The software may reside in memory that may be addressable by the one or more processors associated with thecontroller 105. - The
adapter 401 may receive information from one ormore sensors 411, one or moreadditional data streams 413, for example data streams from other controllers, or one or more corpus ofinformation 415. Theadapter 401 may receive the data over one or more wired or wireless networks, or over one or more dedicated wired links. Theadapter 401 may be able to receive and format the data into a consistent form. For example, one or more sensors and one or more future smart devices may be in communication with theadapter 401, and each of the devices may transmit data to theadapter 401 in a different way. Theadapter 401 may receive the data inputs from the devices, recognize the protocol or protocols associated with the data inputs, decrypt the data inputs if necessary, and reformat the data inputs into one or more forms for transmission. Theadapter 401 may transmit the data inputs to thedata aggregator 403. In one embodiment, one ormore adapters 401 is provided, with anadapter 401 for each type of data input that is received by thecontroller 105. In another embodiment, oneadapter 401 is used with protocols for each type of data input that is received by thecontroller 105. Theadapter 401 may be able to add to or delete from the protocols that theadapter 401 supports. The additional protocols may be stored as software or hardware associated with theadapter 401. - The
data aggregator 403 may receive the formatted data inputs from theadapter 401. Thedata aggregator 403 may group the data inputs so that further analysis may be possible. For example, thedata aggregator 403 may group the data inputs by device, power source, and/or storage device. Thedata aggregator 403 may reduce the number of data points to create a smaller data set. For example, if a sensor provided data at a rate of five times per second, thedata aggregator 403 may take an average of the values to create a per second average, which may then be transmitted to the analytics engine. Thedata aggregator 403 may also delete data received from theadapter 401 that the analytics engine andcontrol logic 405 does not consider, or that was removed by a user or other administrator. The data aggregated by thedata aggregator 403 may be transmitted to the analytics and controllogic module 405. Thedata aggregator 403 may also provide the data to auser interface 407. - The analytics engine and control
logic module 405 may receive the data from thedata aggregator 403, and may perform calculations on the data to find a mixture of power sources and storage devices to generate the electricity required by the end users. Theanalytics engine 405 may perform the calculations according to values provided by a user or provided by the components themselves. For example, and without limitation, one or more of the end users may be designated by a user as high-priority, or may self-designate to thecontroller 105 as high-priority. Similarly, end users may designate or be designated as mid-priority or low-priority. Electricity may be provided to the end users depending on priority or other settings provided by a user. Similarly, sensor data may be used to determine which power sources or storage devices may be used to provide electricity to the end users. - The analytics engine and control
logic module 405 may include first, second, and third plurality of processing sequences. The first plurality of processing sequences may include one or more processing sequences adapted to perform interface activities with, for example, a plurality of potential disruption event databases. The second plurality of processing sequences may be adapted to perform business analytics processing based on a plurality of business analytics data. The third plurality of processing sequences may be adapted to produce a plurality of outputs comprising first, second, and third outputs. The potential disruption event databases may include, but are not limited to, data from sensors, data from command and control facilities, data for weather including tsunami reporting, and other real time event reporting databases including national security, civil defense, weather, and intelligence threat databases. The plurality of business analytics data may include, but is not limited to network component data, network data, node power requirements, node chain power consumption data, equipment or function priority data, location data, power grid data, supported entity/mission data, predicted power disruption impact data, power disruption cost data, threat to life indicator, threat to property indicator, threat to critical infrastructure indicator, threat to critical subsystem indicator, lost opportunity cost from disruption data, predicted time of disruption data. - The first output may include a network disruption prediction report comprising a list of network nodes, missions, locations or other elements which are presently at risk or are predicted to be at risk at a predetermined time based at least in part on outputs from the first, second, and third processing sequences, the plurality of business analytics data, the data from the potential disruption event database, and data provided by the at least one device sensor. The predetermined time may include, for example and without limitation, 72 hours. In other embodiments, the predetermined time may be greater or less than 72 hours. The second output may include, but is not limited to, a list and at least one network diagram showing a plurality of proposed network disruption prevention actions determined based on: outputs from the first, second, and third processing sequences, the plurality of business analytics data, the data from the potential disruption event database, and data provided by the at least one device sensor. The third output may include, but is not limited to, a critical path listing showing critical elements, nodes, or links from the first output with a proposed corrective action, including corrective actions which are automatically implemented by the electrical system.
- For example, and without limitation, sensors may indicate that the weather is cloudy, or that the sun is setting. The
controller 105 may recognize that a photovoltaic power source is providing electricity, and may start additional non-photovoltaic power sources, if available, or may begin to discharge one or more battery storage devices. In another example, sensors may indicate that power from a local, regional, national, or international power grid is fluctuating out of acceptable parameters, which may be set by a user. Theanalytics engine 405 may start additional generators to compensate for the loss of electricity from the power grid. In yet another example, theanalytics engine 405 may recognize that a certain time period includes an increased cost per watt figure from the power grid. Theanalytics engine 405 may begin to discharge one or more storage devices, or may rely on other power sources, so that thecontroller 105 may reduce the electricity coming from the power grid, if the cost to discharge the storage devices or the alternate power sources is lower than the increased cost of electricity from the power grid. - The
user interface 407 may be one or more devices to accept input and to generate output. Theuser interface 407 may take the form of, for example and without limitation, agraphical user interface 407 or a command line interface. The interface may allow a user to set parameters in theanalytics engine 405, thedata aggregator 403, or the communications andcontrol module 409. In one embodiment, theuser interface 407 is provided via agraphical user interface 407 on a computer. The computer may be in communication with thecontroller 105 via a wired or wireless network, or the computer may be in communication with thecontroller 105 via a dedicated wired or wireless link. In another embodiment, theuser interface 407 may be agraphical user interface 407 provided on a portable computer, such as a smart phone or other personal data assistant. The smart phone or assistant may be powered by one or more batteries, and may be in communication with thecontroller 105 via a wireless network or dedicated wireless link. - The communication and
control module 409 may communicate with theanalytics engine 405, and may provide commands provided by theanalytics engine 405 to one or more sensors, or one or more end users, storage devices, or power sources. The communication andcontrol module 409 may be in communication with the one ormore sensors 109 a, or one ormore end users 111 a,storage devices 103 a, orpower sources 101 a via a wired or wireless network, or via a wired or wireless dedicated link. - Turning now to
FIG. 6 , an exemplary diagram of a group of areas and a group of devices, each having a priority, is shown according to an illustrative embodiment of the present disclosure. In the example, acontroller 105 is associated with four areas.Area A 700, with a priority of 1, has three associated devices,Device 1 703 with a priority of 4,Device 2 705 with a priority of 4, andDevice 3 707 with a priority of 1.Area B 702, with a priority of 5, has three associated devices,Device 1 709 with a priority of 3,Device 2 711 with a priority of 3, andDevice 3 713 with a priority of 1.Area C 704, with a priority of 2, has three associated devices,Device 1 715 with a priority of 4,Device 2 717 with a priority of 1, andDevice 3 719 with a priority of 5.Area D 706, with a priority of 1, has three associated devices,Device 1 721 with a priority of 5,Device 2 723 with a priority of 5, andDevice 3 725 with a priority of 4. In the example, priority numbers may range from 1 to 5, with 1 being the highest priority and with 5 being the lowest priority. In the example, thecontroller 105 provides power with preference to the highest priority devices. If there is not enough power to provide adequate power to each of the devices associated with thecontroller 105, then the controller may restrict power to one or more devices, and may restrict power based on priority. Thecontroller 105 may restrict power based on the Area priority, the device priority, or a combination of Area and device priority. For example,Device 1 725 ofArea D 706 has a priority of 5. If thecontroller 105 restricts power based on device priority, thenDevice 3 713 ofArea B 702 may receive power preferentially overDevice 1 725, asDevice 3 713 has a higher priority, even thoughArea B 702 has a lower priority thanArea D 706. If thecontroller 105 restricts power based on Area priority, thenDevice 1 725 ofArea D 706 may receive power preferentially overDevice 3 713 ofB 702, asArea B 702 has a lower priority thanArea D 706. If thecontroller 105 provides power with preference to a combination of device and area priority, then the controller may sum or average the device and area priority to achieve an aggregated priority number, and may allocate power based on the aggregated priority number. - In an embodiment, priority may also be determined by a user. For example, and without limitation, a user with a high priority may authenticate himself or herself to a
device 203. The user may have a priority depending on their status in an organization, for example rank, or may be assigned a priority based in part on their assigned tasks or responsibilities. The authentication may include, but is not limited to, the insertion of a control card, a password, a biometric identifier, or other identifier to uniquely identify one or more users. The authentication may include an encrypted certificate, which is transmitted to acontroller 105 and compared against a central database of certificates. Thecontroller 105 may take the user's priority into account when calculating the priority of a plurality of devices in the system. - If a
controller 105 cannot deploy adequate power to all of the devices on a system, as during, for example, a failure of one or more power generators or an excess number ofdevices 203 associated with thecontroller 105, thecontroller 105 may attempt an orderly shutdown of one ormore devices 203. For example, and without limitation, thecontroller 105 may transmit a message to a computer system notifying users that the particular computer system will shutdown in a minute, or another length of time specified by thecontroller 105 or by the computer system. The computer system may take measures to shutdown in an orderly manner, such as saving settings or files to non-volatile memory or transferring functions or files to another computer system that may not be affected by the shutdown. The affected computer system may notify the user of available computer systems that are not affected by the shutdown, so that the user may transfer functions or files to another computer system. In an embodiment, the user may override the shutdown of a particular system. The override may include that the user present credentials that allow the user to override the shutdown. For example, and without limitation, the user may require the computer system for a mission-critical application. The user may provide credentials to override the shutdown. The information may be transmitted to thecontroller 105, and thecontroller 105 may authenticate the user's credentials and apply the override if the credentials are accepted. In an embodiment, thecontroller 105 may also restart one ormore devices 203 that have been shut down, if adequate power supplies are enabled or restored. - In an embodiment, the
controller 105 may optimize the priorities of one ormore devices 203 so that, if necessary, an orderly shutdown of devices may allow thecontroller 105 to maintain electricity to critical devices. For example, adevice 203 with a high priority, when associated with a first controller, may not have the same priority when associated with a second controller. The second controller may reassign the priority of thedevice 203 based on the priorities of the other devices associated with the second controller and with the overall mission and responsibilities of the second controller. If one or more controllers are in communication with each other, then optimization may occur over a local level at the individual controllers, at a regional level with one or more controllers, and/or at a global level with all associated controllers. The controllers may exchange priority information with each other, or may communicate priority information to a regional or global system or systems that may receive the information, determine priorities on a regional or global basis, and communicate new priority information to the controllers. - The communication of the devices to the
controller 105 may also allow the controller to construct a map showing the location of each of thedevices 203. For example, thecontroller 105 may have the ability to determine the location of one or more of theelectrical outlets 313, and the electrical outlets may communicate if adevice 203 ordevice sensor 201 is attached to theelectrical outlet 313. Thecontroller 105 may aggregate this information and present a map or other pictorial representation of the geographic area on a visual display device, such as a computer monitor or a display of a handheld device such as a smartphone or other portable computer, and may present the devices that are attached to thecontroller 105 on the map. The display may form a portion of a graphical user interface such that a user or operator may be able to navigate the map and select operating parameters for each of the devices associated with thecontroller 105. - Turning now to
FIG. 7 , a flow chart depicting data acquisition and analysis according to an illustrative embodiment of the present disclosure is shown. Inbox 501, thecontroller 105 may receive power data. As shown above, thecontroller 105 may receive power data from the sensors and/or the legacy or future smart devices through the adapter or adapters. - In
box 503, the data is aggregated by the data aggregator and key signatures are extracted. The key signatures may include, for example and without limitation, voltage and amperage information, power type, quality requirements, or other requirements, and time. The key signatures may indicate, for a given end user and a given time, the aggregated power requirement data indicating periods of use or non-use. For example, a signature may indicate that an end user device may be active at 90% between the hours of 3 AM and 9 AM, may be active at 45% between the hours of 9 AM and 3 PM on weekdays, and may be inactive between 3 PM and 3 AM on the weekdays and all day on the weekends. Signatures may be created for each end user, and the signatures may me aggregated across each of the end users, so that power requirements may be calculated, for example, per day. - In
box 505, the signatures extracted inbox 503 are analyzed and thecontroller 105 attempts to learn the signatures. For example, thecontroller 105 may analyze the data frombox 503, and may determine that additional power sources must be brought online to meet the demand of the end user device operating at 95%, or that one or more storage devices must be discharged to meet the demand of the end user device operating at 95%. - In
box 507, thecontroller 105 attempts to predict future power requirements, and may adjust the power sources, storage devices, end users, and/or sensors in an attempt to anticipate the future power requirements. For example, given the example shown with regards tobox 505, thecontroller 105 may bring additional power sources on line or may discharge one or more storage device while the end user device is 90% active, may reduce the output of the power sources, or may reduce or stop the discharge of the storage devices. - While this disclosure has been described as pertaining to the distribution of electricity to one or more devices, the system may distribute any resource in limited supply, and other applications may also be apparent. For example, and without limitation, the
controller 105 may operate to control the distribution of bandwidth for a network, so that devices that are associated with thecontroller 105 may have a priority, and thecontroller 105 may allocate available bandwidth for a network based on a device's priority. In an embodiment, thecontroller 105 may operate to control the distribution of solids, liquids, or gasses to one or more devices and/or users associated with thecontroller 105. - While this disclosure has been described as having an exemplary design, the present disclosure may be further modified within the spirit and scope of this disclosure. This application is therefore intended to cover any variations, uses, or adaptations of the invention using its general principles. Further, this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this disclosure pertains.
Claims (24)
1. An electrical system, comprising:
a controller including a plurality of machine implemented processing sequences;
a plurality of sensors configured to receive input related to the environmental conditions of the environment surrounding the plurality of sensors and transmit the input to the controller;
at least one power source in electrical communication with the controller;
at least one storage device in electrical communication with the controller; and
at least one device sensor in communication with an end user, the at least one device sensor including memory, the memory including priority information regarding the priority of a device associated with the at least one device sensor, the at least one device sensor operable to transmit information to the controller, wherein the controller selectively energizes or deenergizes the devices associated with the at least one device sensor based at least in part on the priority information associated with each of the at least one device sensors and on the available energy produced by the at least one power source.
2. The electrical system of claim 1 , further comprising at least one smart device, the at least one smart device operable to transmit information to the controller without the use of the at least one device sensor.
3. The electrical system of claim 1 , wherein the controller utilizes an analytics engine to make power planning decisions, the analytics engine comprising first, second, and third plurality of processing sequences, wherein the first plurality of processing sequences is adapted to perform interface activities with a plurality of potential disruption event databases, the second plurality of processing sequences is adapted to perform business analytics processing based on a plurality of business analytics data, and the third plurality of processing sequences is adapted to produce a plurality of outputs comprising first, second, and third outputs;
wherein the potential disruption event databases comprise data from sensors, command and control facilities, weather sources including tsunami reporting, and other real time event reporting databases including national security, civil defense, weather, and intelligence threat databases;
wherein the plurality of business analytics data comprising network component data, network data, node power requirements, node chain power consumption data, equipment or function priority data, location data, power grid data, supported entity/mission data, predicted power disruption impact data, power disruption cost data, threat to life indicator, threat to property indicator, threat to critical infrastructure indicator, threat to critical subsystem indicator, lost opportunity cost from disruption data, predicted time of disruption data;
wherein the first output comprises a network disruption prediction report comprising a list of network nodes, missions, locations or other elements which are presently at risk or are predicted to be at risk within 72 hours or less based on:
outputs from the first, second, and third processing sequences,
the plurality of business analytics data,
the data from the potential disruption event database, and
data provided by the at least one device sensor;
wherein the second output comprises a list and at least one network diagram showing a plurality of proposed network disruption prevention actions determined based on:
outputs from the first, second, and third processing sequences,
the plurality of business analytics data,
the data from the potential disruption event database, and
data provided by the at least one device sensor; and
wherein the third output comprises a critical path listing showing critical elements, nodes, or links from the first output with a proposed corrective action, including corrective actions which are automatically implemented by the electrical system.
4. The electrical system of claim 3 , further comprising at least one portable computer in communication with the controller to issue commands to the controller, the at least one portable computer including an input/output portion adapted to display a graphical interface showing the first, second, and third outputs.
5. The electrical system of claim 1 , wherein the at least one power source is at least one of a photovoltaic generator, a solar cell power generator, a concentrated solar power generator, a fossil fuel generator, a wind turbine generator, a pyrolysis power generator, a fuel cell power generator, a geothermal power generator, a hydroelectric power generator, a nuclear power plant, a wave powered power generator, or a connection to a local, national, or international electrical grid.
6. The electrical system of claim 1 , wherein the at least one storage device is at least one of dry cell batteries, wet cell batteries, rechargeable batteries, capacitors, fly-wheel energy storage systems, hydraulic energy storage systems, steam based systems, pressure based systems, the creation of biofuels, or the storage or heating of heated liquids or solids.
7. The electrical system of claim 6 , wherein the rechargeable batteries comprises at least one lithium-ion, lithium, nickel-metal hydride, nickel cadmium, or lead-acid rechargeable batteries.
8. The electrical system of claim 1 , further comprising a power conditioner in electrical communication with the controller.
9. The electrical system of claim 1 , wherein the controller is operable to choose one or more of the one or more power sources to generate electricity based at least in part on the input received from the plurality of sensors.
10. The electrical system of claim 1 , wherein the plurality of sensors include at least one sensor to measure tactical information.
11. The electrical system of claim 1 , wherein the priority information is transmitted to the controller over a power line.
12. The electrical system of claim 1 , wherein the priority information is stored in one or more RFID devices associated with each of the at least one device sensors.
13. The electrical system of claim 1 , wherein the location of the RFID devices is tracked by a plurality of RFID sensors.
14. The electrical system of claim 1 , wherein the device sensor further transmits one or more codes to the controller, and wherein the controller interprets the one or more codes and energizes the device sensor based on the acceptance of one or more of the one or more codes.
15. The electrical system of claim 1 , wherein the priority information associated with each of the at least one device sensors is changed based on the priority of the user operating the device sensor.
16. An electrical system controller including a plurality of machine implemented processing sequences, comprising:
an adapter to receive data from one or more inputs, including a plurality of sensors operable to receive input related to the environment;
a data aggregator to receive data from the adapter and group the data;
an analytics engine to receive the grouped data from the data aggregator and analyze the data; and
a control module to receive commands from the analytics engine and relay the commands to one or more devices
at least one device sensor in communication with an end user, the at least one device sensor including memory, the memory including priority information regarding the priority of a device associated with the at least one device sensor, the at least one device sensor operable to transmit information to the adapter, wherein the control module selectively energizes or deenergizes the devices associated with the at least one device sensor based at least in part on the priority information associated with each of the at least one device sensors and on the available energy produced by at least one power source.
17. The electrical system controller of claim 16 , further comprising at least one smart device, the at least one smart device operable to transmit information to the controller without the use of the at least one device sensor.
18. The electrical system controller of claim 16 , wherein the plurality of sensors include at least one sensor to measure environmental conditions.
19. The electrical system controller of claim 16 , wherein the plurality of sensors include at least one sensor to measure tactical information.
20. The electrical system controller of claim 16 , wherein the analytics engine is operable to choose one or more of the one or more power sources to generate electricity based at least in part on the input received from the plurality of sensors.
21. The electrical system controller of claim 16 , further comprising at least one portable computer in communication with the electrical system controller to issue commands to the electrical system controller.
22. The electrical system controller of claim 16 , wherein the priority information is transmitted to the adapter over a power line.
23. The electrical system controller of claim 16 , wherein the priority information is stored in RFID devices associated with each of the at least one device sensors.
24. A method of predicting electrical requirements, comprising:
receiving data from one or more inputs, including at least one sensor operable to receive input related to the environment and at least one device sensor operable to receive data from one or more end users regarding power usage and future requirements, the at least one device sensor including memory, the memory including priority information regarding the priority of a device associated with the at least one device sensor, the at least one device sensor operable to transmit information;
extracting key signatures from the data received from the one or more inputs;
learning the key signatures extracted from the data received from the one or more inputs;
predicting future power requirements associated with the key signatures; and
controlling power generation, storage, and distribution according to the predicted future power requirements by selectively energizing or deenergizing the devices associated with the at least one device sensor based at least in part on the priority information associated with each of the at least one device sensors and on the available energy produced by at least one power source.
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Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130326250A1 (en) * | 2012-05-31 | 2013-12-05 | At&T Intellectual Property I, Lp | Managing power consumption of electronic devices responsive to usage forecast |
US20140228976A1 (en) * | 2013-02-12 | 2014-08-14 | Nagaraja K. S. | Method for user management and a power plant control system thereof for a power plant system |
US20150045976A1 (en) * | 2013-08-09 | 2015-02-12 | The Boeing Company | Advanced energy monitoring and control in a complex system |
US20160322820A1 (en) * | 2013-12-24 | 2016-11-03 | Kyocera Corporation | Power management apparatus, power management system, and power management method |
WO2017034655A1 (en) * | 2015-08-21 | 2017-03-02 | Metso Flow Control Usa Inc. | Apparatus and method for universal setup, monitoring and control of field devices for a plant |
US20170289248A1 (en) * | 2016-03-29 | 2017-10-05 | Lsis Co., Ltd. | Energy management server, energy management system and the method for operating the same |
US9961572B2 (en) | 2015-10-22 | 2018-05-01 | Delta Energy & Communications, Inc. | Augmentation, expansion and self-healing of a geographically distributed mesh network using unmanned aerial vehicle (UAV) technology |
US10055966B2 (en) | 2015-09-03 | 2018-08-21 | Delta Energy & Communications, Inc. | System and method for determination and remediation of energy diversion in a smart grid network |
US10055869B2 (en) | 2015-08-11 | 2018-08-21 | Delta Energy & Communications, Inc. | Enhanced reality system for visualizing, evaluating, diagnosing, optimizing and servicing smart grids and incorporated components |
US10476597B2 (en) | 2015-10-22 | 2019-11-12 | Delta Energy & Communications, Inc. | Data transfer facilitation across a distributed mesh network using light and optical based technology |
US10652633B2 (en) | 2016-08-15 | 2020-05-12 | Delta Energy & Communications, Inc. | Integrated solutions of Internet of Things and smart grid network pertaining to communication, data and asset serialization, and data modeling algorithms |
US10791020B2 (en) | 2016-02-24 | 2020-09-29 | Delta Energy & Communications, Inc. | Distributed 802.11S mesh network using transformer module hardware for the capture and transmission of data |
US11172273B2 (en) | 2015-08-10 | 2021-11-09 | Delta Energy & Communications, Inc. | Transformer monitor, communications and data collection device |
US20210376606A1 (en) * | 2020-06-01 | 2021-12-02 | Enphase Energy, Inc. | Load detection and prioritization for an energy management system |
US11196621B2 (en) | 2015-10-02 | 2021-12-07 | Delta Energy & Communications, Inc. | Supplemental and alternative digital data delivery and receipt mesh net work realized through the placement of enhanced transformer mounted monitoring devices |
CN116703135A (en) * | 2023-08-10 | 2023-09-05 | 安徽博诺思信息科技有限公司 | Power line construction planning analysis and evaluation method |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9397521B2 (en) * | 2012-01-20 | 2016-07-19 | Salesforce.Com, Inc. | Site management in an on-demand system |
US10089291B2 (en) | 2015-02-27 | 2018-10-02 | Microsoft Technology Licensing, Llc | Ink stroke editing and manipulation |
US9950542B2 (en) * | 2015-03-12 | 2018-04-24 | Microsoft Technology Licensing, Llc | Processing digital ink input subject to monitoring and intervention by an application program |
US11875371B1 (en) | 2017-04-24 | 2024-01-16 | Skyline Products, Inc. | Price optimization system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020024424A1 (en) * | 2000-04-10 | 2002-02-28 | Burns T. D. | Civil defense alert system and method using power line communication |
US20020064010A1 (en) * | 1997-11-26 | 2002-05-30 | Energyline Systems, Inc. | Method and apparatus for automated reconfiguration of an electric power distribution system with enhanced protection |
JP2009235412A (en) * | 2002-08-30 | 2009-10-15 | Baker Hughes Inc | Mixture containing additive to enhance metal and amine removal in refining desalting treatment |
Family Cites Families (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020084655A1 (en) | 2000-12-29 | 2002-07-04 | Abb Research Ltd. | System, method and computer program product for enhancing commercial value of electrical power produced from a renewable energy power production facility |
WO2004042885A1 (en) | 2002-11-04 | 2004-05-21 | Raytheon Company | Intelligent power system |
US20040158360A1 (en) | 2003-02-04 | 2004-08-12 | Charles Garland | System and method of energy management and allocation within an energy grid |
US7372709B2 (en) | 2003-09-11 | 2008-05-13 | The Board Of Trustees Of The University Of Illinois | Power conditioning system for energy sources |
US7105950B2 (en) | 2003-09-26 | 2006-09-12 | Hewlett-Packard Development Company, L.P. | Power management in a system having a plurality of power supplies |
US7514815B2 (en) | 2004-09-28 | 2009-04-07 | American Power Conversion Corporation | System and method for allocating power to loads |
US7714735B2 (en) | 2005-09-13 | 2010-05-11 | Daniel Rockwell | Monitoring electrical assets for fault and efficiency correction |
US7499762B2 (en) | 2006-03-21 | 2009-03-03 | Digitalogic, Inc. | Intelligent grid system |
US8126685B2 (en) | 2006-04-12 | 2012-02-28 | Edsa Micro Corporation | Automatic real-time optimization and intelligent control of electrical power distribution and transmission systems |
US20090040029A1 (en) | 2006-08-10 | 2009-02-12 | V2Green, Inc. | Transceiver and charging component for a power aggregation system |
US7573145B2 (en) | 2006-11-16 | 2009-08-11 | Cummins Power Generation Ip, Inc. | Electric power generation system controlled to reduce perception of operational changes |
US9000611B2 (en) | 2007-05-07 | 2015-04-07 | Cummins Power Generation Ip, Inc. | Protection techniques for an electric power system |
US8065099B2 (en) | 2007-12-20 | 2011-11-22 | Tollgrade Communications, Inc. | Power distribution monitoring system and method |
EP2248044A4 (en) | 2007-12-28 | 2013-12-11 | Server Tech Inc | Power distribution, management, and monitoring systems and methods |
US20090228324A1 (en) | 2008-03-04 | 2009-09-10 | Ronald Ambrosio | Method and System for Efficient Energy Distribution in Electrical Grids Using Sensor and Actuator Networks |
USPP21143P3 (en) * | 2008-03-17 | 2010-07-06 | S.A.R.L. Agro Selection Fruits | Peach tree named ‘ASFPBF0492’ |
US8121741B2 (en) | 2008-05-09 | 2012-02-21 | International Business Machines Corporation | Intelligent monitoring of an electrical utility grid |
CA2723892C (en) | 2008-05-09 | 2016-10-04 | Accenture Global Services Gmbh | Method and system for managing a power grid |
EP2159749A1 (en) | 2008-08-20 | 2010-03-03 | Alcatel, Lucent | Method of controlling a power grid |
US8487634B2 (en) | 2008-09-25 | 2013-07-16 | Enmetric Systems, Inc. | Smart electrical wire-devices and premises power management system |
US8260469B2 (en) | 2008-11-04 | 2012-09-04 | Green Energy Corporation | Distributed hybrid renewable energy power plant and methods, systems, and comptuer readable media for controlling a distributed hybrid renewable energy power plant |
US20100217651A1 (en) | 2009-02-26 | 2010-08-26 | Jason Crabtree | System and method for managing energy resources based on a scoring system |
US8643215B2 (en) | 2009-03-11 | 2014-02-04 | Schweitzer Engineering Laboratories Inc | Mobile auxilliary power system for electrical distribution and transmission systems |
WO2010129059A1 (en) | 2009-05-08 | 2010-11-11 | Consert Inc. | System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management |
-
2011
- 2011-03-31 US US13/077,913 patent/US9589241B2/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020064010A1 (en) * | 1997-11-26 | 2002-05-30 | Energyline Systems, Inc. | Method and apparatus for automated reconfiguration of an electric power distribution system with enhanced protection |
US20020024424A1 (en) * | 2000-04-10 | 2002-02-28 | Burns T. D. | Civil defense alert system and method using power line communication |
JP2009235412A (en) * | 2002-08-30 | 2009-10-15 | Baker Hughes Inc | Mixture containing additive to enhance metal and amine removal in refining desalting treatment |
Non-Patent Citations (2)
Title |
---|
Callaway, Duncan, âAchieving Controllability of Electric Loadsâ, Proceedings of the IEEE, Vol. 99, No. 1, January 2011, pages 184-199. * |
Rizy, et al., Operational and Design Considerations for Electric Distribution Systems with Dispersed Storage and Generation, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-104, No. 10, October 1985, pages 2864-2871. * |
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